Research on the Fault Diagnostic of the Aircraft Cross-Linking Systems

Abstract

High complexity of modern civil aircraft system leads to a huge difficulty to its trouble-shooting. This paper firstly discussed the two main directions of improving the aircraft fault diagnosis capability, and then analysed the pain points encountered by the model-based troubleshooting method. For the pain points, the Colour Fuzzy Fault Petri Net (CFFPN) model was proposed. The basic principles of the model and the basic process of conducting forward and reverse reasoning diagnosis based on the model were illustrated. Then the application of reasoning process in system design integration and airline maintenance was expounded. Finally, a practical software prototype of the model was developed, and effectiveness of the method and model was demonstrated through applications in engineering practice.

Exploring Research on the Construction and Application of Knowledge Graphs for Aircraft Fault Diagnosis

“…One crucial point for such methods is that they require a reasonable model to describe fault knowledge [21]. Classical models such as fault tree models [22,23], Petri net models [24,25], rule models [26,27], and causality graphs [28] have been employed for constructing knowledge bases. However, these models have some drawbacks, such as the need for the analysis of potential equipment fault modes in advance, and artificial editing, making them inflexible and difficult to update dynamically.…”